In silico simulation of epidermal growth factor signaling in prostate cancer cells

Takashi Nakakuki, Kaori Ide, Noriko Yumoto, Takeshi Nagashima, Mariko Hatakeyama

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

The epidermal growth factor receptor (EGFR) and its signaling pathways are closely involved in the development and progression of prostate cancer. To understand the EGF-stimulated signaling pathways in prostate cancer cells, we constructed a mathematical model of EGF receptor signaling in PC3 cells based on the experimental data. The model was described by twenty-seven ordinary differential equations, and all parameters were estimated by genetic algorithm. The validity of the model was confirmed with time-course western blot data, showing that the model could successfully reproduce all experimental results.

Original languageEnglish
Title of host publication5th IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'07
DOIs
Publication statusPublished - 2007 Dec 1
Event5th IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'07 - Tuusula, Finland
Duration: 2007 Jun 102007 Jun 12

Publication series

NameGENSIPS'07 - 5th IEEE International Workshop on Genomic Signal Processing and Statistics

Other

Other5th IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'07
CountryFinland
CityTuusula
Period07/6/1007/6/12

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Computer Science Applications
  • Signal Processing
  • Electrical and Electronic Engineering

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